MPPT design of centralized thermoelectric generation system using adaptive compass search under non-uniform temperature distribution condition

Yang, Bo; Wang, Junting; Zhang, Xiaoshun; Zhang, Mengting; Shu, Hongchun; Li, Shengnan; He, Tong; Yang, Lei; Yu, Tao

doi:10.1016/j.enconman.2019.111991

Cited by 47 publications

(9 citation statements)

References 37 publications

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“…Incremental conductance (INC), parasitic capacitance (PC), and constant voltage (CV) are also popular MPPT methods (Hohm and Ropp, 2003). The open-circuit voltage (OCV) technique and short-circuit current (SCC) technique track maximum power point (MPP) by measuring open circuit voltage and short circuit current (Siouane et al, 2016;Yang et al, 2019). Heuristic algorithms, neural networks, deep learning, and other artificial intelligence (AI) algorithms have the advantage of fast convergence, not easy to trap into local optimum, therefore suitable for MPPT control problems.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review and Analysis of MPPT Techniques for TEG Systems Under Nonuniform Temperature Distribution

Zhang

Song²,

Wang

et al. 2022

Front. Energy Res.

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As a waste heat recovery power generation technology, the thermoelectric generation (TEG) system is popular and promising for its high reliability and environmental benefits. However, because of its low conversion efficiency, it has not been in large-scale use. To raise the efficiency of the TEG system, maximum power point tracking (MPPT) techniques are effective ways to gain the maximum power of the TEG system. But in practical engineering scene, TEG usually works under nonuniform temperature distribution (NTD) conditions; this will bring some difficulties on MPPT controlling, such as local maximum power point (LMPP) and oscillations around the maximum power point (MPP). For this reason, many intelligent MPPT algorithms have been emerged to solve aforementioned problems. In this article, the mathematical model and NTD condition will be introduced. Then, the latest research on classical and intelligent MPPT technologies will be reviewed, which includes a comparison of complexity, economy, efficiency, adaptive ability, and other aspects of these methods, in which researchers can obtain information in related fields.

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Section: Introductionmentioning

confidence: 99%

A Systematic Review and Analysis of MPPT Techniques for TEG Systems Under Nonuniform Temperature Distribution

Zhang

Song²,

Wang

et al. 2022

Front. Energy Res.

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“…Nonuniform temperature distribution can cause multiple local maximum power points in a centralized TEGS. Strategies based on modern optimization have been proposed to solve that issue 11,21,22 …”

Section: Introductionmentioning

confidence: 99%

“…Strategies based on modern optimization have been proposed to solve that issue. 11,21,22 The current work proposes a robust MPPT method based on type-2 FL to adapt the variable step size of INR MPPT. The proposed controller drives a DC-DC power converter that acts as a bridge to link one TEG module that powers a resistive load.…”

Section: Introductionmentioning

confidence: 99%

A robust type‐2 fuzzy logic‐based maximum power point tracking approach for thermoelectric generation systems

Rezk

Harrag

2021

Intl J of Energy Research

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A robust type-2 fuzzy logic (FL)-based approach for maximum power point tracking (MPPT) is proposed in this work. The method is used to increase the energy efficiency of thermoelectric generators (TEGs). Type-2 FL was applied to adapt the variable step size of incremental resistance (INR) MPPT to track the maximum available power of a TEG. The output power from a TEG relies mostly on the difference in temperature of its two sides added to the load value. Consequently, MPPT must be robust to extract the optimum operation point continually under varying operational conditions. The aim of the

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“…Photovoltaic (PV) energy becomes a promising alternative as it is omnipresent, environment friendly, and has less operational and maintenance costs. An efficient maximum power point tracking (MPPT) technique is necessary that is expected to track the maximum power point (MPP) at all environmental conditions and then force the PV system to operate at that MPP (Sivakumar et al, 2015;Saravanan and Ramesh Babu, 2016;Kandemir et al, 2017;Al-Dhaifallah et al, 2018;Yang et al, 2018a;Yang et al, 2018b;Li X. et al, 2019a;Yang et al, 2019a;Li X. et al, 2019b;Yang et al, 2019b;Yang et al, 2019c;Li S. et al, 2020;Yang et al, 2020b;Eltamaly, 2021;Li F. et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Study on Maximum Power Point Tracking Techniques Based on Fuzzy Logic Control for Solar Photovoltaic Systems

Zhu

Dong

et al. 2021

Front. Energy Res.

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Maximum power point tracking (MPPT) methods based on fuzzy logic control (FLC) is a popular application in recent years. However, different kinds of fuzzy control methods lack comparative study, which led to confusion in practice. Hence, a comprehensive study on these methods is essential. Unfortunately, very few attempts have been made in this regard. In this paper, four FLC methods are selected for comparative analysis. Furthermore, the design details and experimental result will also be given to help choose and measure these methods, which presents a clear image of the technology of FLC based MPPT to readers.

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MPPT design of centralized thermoelectric generation system using adaptive compass search under non-uniform temperature distribution condition

Cited by 47 publications

References 37 publications

A Systematic Review and Analysis of MPPT Techniques for TEG Systems Under Nonuniform Temperature Distribution

A Systematic Review and Analysis of MPPT Techniques for TEG Systems Under Nonuniform Temperature Distribution

A robust type‐2 fuzzy logic‐based maximum power point tracking approach for thermoelectric generation systems

A Comprehensive Study on Maximum Power Point Tracking Techniques Based on Fuzzy Logic Control for Solar Photovoltaic Systems

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